Data Engineer Johnson, Mirmiran & Thompson vision insurance, paid time off, paid holidays, 401(k), retirement plan United States, Maryland, Hunt Valley 40 Wight Avenue (Show on map) Jul 23, 2026 Data Engineer LinkedIn Twitter Email Message Share Category Technology Group/GIS All Locations Hunt Valley, MD Tracking Code 26242 Position Type Full-Time/Regular Job Description JMT Technology Group, a leading geospatial and information technology solutions provider, is looking for a Data Engineer. The Data Engineer will be responsible for architecting, documenting, and developing data architectures models and business reporting applications, providing technical leadership for database development efforts. Conducts complex data mapping and Extract, Transform and Load (ETL/ELT) efforts. Immigration sponsorship or support (e.g.

H1B, F-1 CPT/OPT/STEM OPT

) is NOT available for this position, except for qualified candidates eligible for the TN visa classification. JMT offers outstanding opportunities for career and professional growth. We are 100% employee-owned (ESOP) and offer outstanding health care coverage and other benefits, including: Affordable Medical, Dental & Vision Insurance Company paid Life and Disability Insurance Paid Time Off Paid Holidays Paid Caregiver Leave Program 401K Retirement Plan (Traditional and Roth options) Employee Stock Ownership Plan (ESOP) Career Development Programs And more... Benefits | JMT Compensation for this position is $114,400.00 - $124,800.00, commensurate with experience, education and certifications. The provided range is a good faith estimate based on the requirements described within the job description. We notice that we receive a wide variety of applicants and recognize that the person selected may be less experienced or more experienced. If so, the actual salary range may vary from the estimate provided. Essential functions and responsibilities Conduct complex data mapping efforts between systems in a clear and well defined manner Perform data analysis and develop the data models to support ETL/ELT development Complete complex data migrations (ETL/ELT) processes to support development efforts Collaborate with Software Architects, Software Developers, and BI Developers to design appropriate solutions for our internal team and external clients. Mentor software developers in data architecture and database design best practices Perform and assign database development tasks of medium complexity across multiple projects. Work directly with third party solutions to design, document, and develop data integrations. Create, contribute to, review and collaborate on data and database designs and implementations. Work with IT to deploy solutions Innovate and contribute to improving development standards, techniques, tools, and processes Train and test for industry certifications Identify, set, monitor, and achieve individual goals Leverage mentorship and peer relationships to increase proficiency in development Provide support to team members Participate in the development personnel interview process Collaborate with project managers, business systems analysts, UX designers, and application developers to deliver high-quality deliverables Support production systems as urgent and critical issues arise. Nonessential functions and responsibilities Perform other related duties as assigned Required Skills Excellent verbal and written communication skills Required Experience Bachelor's Degree in computer science, Information Technology, or related fields 5+ years of experience developing data/database systems and integrating with third party solutions. 5+ years of Extract, Transform and Load (ETL/ELT) experience 2+ years of experience architecting data/database solutions and designing the integration with third party solutions. 3+ years of experience working in a hybrid agile development methodology Preferred Experience Experience with Microsoft's Azure Technologies Experience with cloud-hosted data warehousing solutions (Databricks, Snowflake, Microsoft Fabric, or other big data platforms) Experience with dbt (data build tool) for data transformation and modeling Experience with a variety of databases and ETL/ELT solutions Working Conditions Work is performed within a general hybrid office environment. Work is generally sedentary in nature, but may require occasional standing and walking. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc. within the office environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other characteristic protected by state or federal law.